Validating and improving the reliability of the EORTC qlq-c30 using a multidimensional Rasch model

Value Health. 2013 Jul-Aug;16(5):848-54. doi: 10.1016/j.jval.2013.05.004. Epub 2013 Jul 17.

Abstract

Objective: The reliability and validity of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30) has not been examined while taking into account the correlation between subscales. The reliability of the EORTC QLQ-C30 subscales is modest, thus limiting their utility in both clinical and research settings. The purpose of this study was to validate the factor structure of multiple-item subscales of the EORTC QLQ-C30 and to improve their reliability by means of an item response analysis by using the multidimensional partial credit model.

Methods: A total of 2295 patients with complete data were used for the analysis. One- and nine-dimensional partial credit models were used to fit the data to validate the construct validity of the multiple-item subscales of the QLQ-C30.

Results: The model comparison showed that the nine-dimensional factor structure of multiple-item subscales was satisfactory. The multidimensional partial credit model fit data of the multiple-item subscales of the QLQ-C30 reasonably well. The estimated test reliabilities of each domain obtained from the multidimensional approach were higher than those obtained from the unidimensional approach.

Conclusions: The constructs represented by the multiple-item subscales of the QLQ-C30 were validated. The improved reliability of the multiple-item subscales of the QLQ-C30 under the multidimensional approach can facilitate their applications in clinical and research settings.

Keywords: Rasch model; cancer; quality of life; questionnaire.

Publication types

  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Female
  • Health Status
  • Humans
  • Interpersonal Relations
  • Male
  • Middle Aged
  • Neoplasms / psychology*
  • Neoplasms / therapy*
  • Psychometrics
  • Quality of Life*
  • Reproducibility of Results
  • Surveys and Questionnaires